Recovering the Structure of Complex Objects by an Integrated Method
多方法相融合的复杂物体深度信息的恢复

A new method is presented for recovering the 3 dimensional structure of complex objects. Stereo is an effective method to determine the precise depth of the surface through binocular disparity. But it is difficult to establish the correspondence of the two image. The method of Shape From Shading (SFS) can learn the surface shape but not the surface depth of an object from merely one image under the constraint of surface smoothness; In this paper, the methods of stereo and SFS are integrated into neural networks to locate the precise depth and shape information of the object, which gives full play to their superiority. Experimental results with numerically generated and laboratory images are given to verify the method.